GenAI for Data Analysis: Advanced Techniques
Master Generative AI tools to revolutionize your data analysis workflow. Learn advanced pattern recognition and predictive analytics techniques.
Master Generative AI tools to revolutionize your data analysis workflow. Learn advanced pattern recognition and predictive analytics techniques.
This comprehensive course explores the transformative potential of Generative AI in data analysis. Led by instructors Soheil Haddadi and Reza Moradinezha, the program teaches practical applications of GenAI tools for enhancing data analysis workflows. Through interactive demonstrations and hands-on exercises, participants learn to leverage AI for data preprocessing, pattern recognition, and predictive analytics. The course emphasizes both practical implementation and ethical considerations, making it ideal for data analysts seeking to modernize their analytical capabilities.
Instructors:
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What you'll learn
Apply GenAI tools for enhanced data preprocessing
Master pattern recognition using AI technologies
Generate advanced analytical insights with GenAI
Create automated data analysis reports
Implement ethical AI practices in data analysis
Skills you'll gain
This course includes:
40 Minutes PreRecorded video
1 assignment, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This course provides a comprehensive introduction to applying Generative AI in data analysis workflows. Students learn to use cutting-edge AI tools for data processing, pattern recognition, and insight generation. The curriculum covers practical applications using various platforms including ChatGPT, Coefficient, and Crux Copilot. Special emphasis is placed on ethical considerations and responsible AI implementation in data analysis practices.
GenAI for Data Analyst
Module 1 · 2 Hours to complete
Fee Structure
Payment options
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Instructors
Data Scientist and AI Research Scientist
Soheil Haddadi is a postdoctoral researcher specializing in Artificial Intelligence (AI) and machine learning, with a robust academic background in Control and Automation Systems Engineering. His expertise encompasses a wide range of areas, including data science, deep learning, natural language processing (NLP), and robotics. Soheil is committed to advancing the field of AI through innovative research and practical applications.He teaches several courses on Coursera, such as Fine-tuning Language Models for Business Tasks, GenAI for Data Scientists, and Data Engineering: Pipelines, ETL, Hadoop. These courses are designed to equip learners with the skills necessary to effectively utilize generative AI technologies and data engineering practices in various professional contexts.
AI Educator and Human-Centered Interaction Researcher
Reza Moradinezhad is an AI educator and researcher dedicated to promoting trustworthy AI and enhancing human-centered interactions. He holds a PhD in Computer Science from Drexel University and currently serves as an assistant teaching professor at Drexel's College of Computing & Informatics. In addition, he is an AI Scientist at TulipAI, where he focuses on ethical and responsible use of generative AI technologies.Reza offers a variety of courses on Coursera, including Building Production-Ready Apps with Large Language Models, Evaluating Large Language Model Outputs: A Practical Guide, and GenAI for Application Developers. His courses aim to equip learners with the skills necessary to effectively utilize large language models in various applications, from customer service to data analysis.
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